Multimode barcode images

Creating a temperature-dependent multimode barcode image dataset was a prerequisite for real-time temperature measurement using CNN-based image recognition technology. The colormap was utilized to transform 10,000 sets of spectral data, recorded 100 times at 0.1°C intervals between 30.1°C and 40.0°C, into barcode images for training. Each temperature-dependent multimode spectrum was measured 20 times and converted into barcode images as a test set. This test set was then input into the pre-trained model for real-time temperature measurement. That is to say, each temperature file in the provided dataset contains 120 pictures, of which the first one hundred pictures are used for model training and the last 20 pictures are used for detection testing.